Food Security, Poverty and Nutrition Policy Analysis: Statistical Methods and Applications
Food Security, Poverty and Nutrition Analysis provides essential insights into the evaluative techniques necessary for creating appropriate and effective policies and programs to address these worldwide issues. Food scientists and nutritionists will use this important information, presented in a conceptual framework and through case studies for exploring representative problems, identifying and implementing appropriate methods of measurement and analysis, understanding examples of policy applications, and gaining valuable insight into the multidisciplinary requirements of successful implementation.
This book provides core information in a format that provides not only the concept behind the method, but real-world applications giving the reader valuable, practical knowledge.
* Identify proper analysis method, apply to available data, develop appropriate policy
* Demonstrates analytical techniques using real-world scenario application to illustrate approaches for accurate evaluation improving understanding of practical application development
* Tests reader comprehension of the statistical and analytical understanding vital to the creation of solutions for food insecurity, malnutrition and poverty-related nutrition issues using hands-on exercises
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age Z-scores agricultural ANOVA approach breastfeeding calorie CALREQ capita cash crop cent chapter chi-square child health child nutritional status child-care practices cluster analysis coefficient commercialization community characteristics component computed constraints correlation denotes determinants diarrhea discriminant function distribution economic educational level EDUCSPOUS effect equation estimated example factor analysis female-headed households follows food consumption food security gender groups height for age height Z-scores household food security household head household level hybrid maize impact important income increase independent variables indicators individual insecurity intake linear programming logistic regression maize Malawi malnutrition maternal education matrix mean measure method mothers normally distributed null hypothesis nutrient nutrition knowledge nutrition security poor population poverty line predictor production region rural sample sanitation security and nutrition significant SPSS statistical stunting sum of squares Table technology adoption variance weight for height women women’s status World Bank